Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
Multispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one short...
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| Format: | Article |
| Language: | English |
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MDPI AG
2008-11-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/8/11/6999/ |
| _version_ | 1811187732107493376 |
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| author | Rudolf Richter |
| author_facet | Rudolf Richter |
| author_sort | Rudolf Richter |
| collection | DOAJ |
| description | Multispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one shortwave infrared band (around 1.6 or 2.2 µm) or hyperspectral instruments to derive the aerosol optical thickness. New classification metrics for defining cloud, cloud over water, haze, water, and saturation are presented to achieve improvements for an automatic processing system. The background is an ESA contract for the development of a prototype atmospheric processor for the optical payload AVNIR-2 on the ALOS platform. |
| first_indexed | 2024-04-11T14:08:27Z |
| format | Article |
| id | doaj.art-b872844afbcf4f93a56429ccaed47749 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:08:27Z |
| publishDate | 2008-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b872844afbcf4f93a56429ccaed477492022-12-22T04:19:49ZengMDPI AGSensors1424-82202008-11-018116999701110.3390/s8116999Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR ImageryRudolf RichterMultispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one shortwave infrared band (around 1.6 or 2.2 µm) or hyperspectral instruments to derive the aerosol optical thickness. New classification metrics for defining cloud, cloud over water, haze, water, and saturation are presented to achieve improvements for an automatic processing system. The background is an ESA contract for the development of a prototype atmospheric processor for the optical payload AVNIR-2 on the ALOS platform.http://www.mdpi.com/1424-8220/8/11/6999/Aerosol retrievalsurface reflectancehazecloudwater |
| spellingShingle | Rudolf Richter Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery Sensors Aerosol retrieval surface reflectance haze cloud water |
| title | Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery |
| title_full | Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery |
| title_fullStr | Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery |
| title_full_unstemmed | Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery |
| title_short | Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery |
| title_sort | classification metrics for improved atmospheric correction of multispectral vnir imagery |
| topic | Aerosol retrieval surface reflectance haze cloud water |
| url | http://www.mdpi.com/1424-8220/8/11/6999/ |
| work_keys_str_mv | AT rudolfrichter classificationmetricsforimprovedatmosphericcorrectionofmultispectralvnirimagery |